Cite this DOI

Longman Publishers (2020). Motion Detection and Prediction Using Machine Learning Algorithm. *Journal of Science & Technology*, 220–226. https://doi.org/10.46243/jst.2020.v5.i5.pp220-226

@article{anon2020motion,
  title     = {{Motion Detection and Prediction Using Machine Learning Algorithm}},
  journal   = {Journal of Science \& Technology},
  year      = {2020},
  month     = {oct},
  number    = {Volume 5},
  pages     = {220--226},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2020.v5.i5.pp220-226},
  url       = {https://doi.org/10.46243/jst.2020.v5.i5.pp220-226},
  language  = {en},
  abstract  = {Machine learning is a branch of Artificial Intelligence which is gaining importance in the 21st century with increasing processing speeds and miniaturization of sensors, the applications of Artificial Intelligence and cognitive technologies are growing rapidly. An array of ultrasonic sensors i.e., HCSR-04 is placed at different directions, collecting data for a particularinterval of a period during a particular day. The acquired sensor values are subjected to pre-processing, data analytics, and visualization. The prepared data is now split into test and train. A prediction model is designed using logistic regression and linear regression and checked for accuracy, F1 score, and precision compared.}
}

TY  - JOUR
TI  - Motion Detection and Prediction Using Machine Learning Algorithm
JO  - Journal of Science & Technology
PY  - 2020
DA  - 2020/10/14/
IS  - Volume 5
SP  - 220
EP  - 226
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Machine learning is a branch of Artificial Intelligence which is gaining importance in the 21st century with increasing processing speeds and miniaturization of sensors, the applications of Artificial Intelligence and cognitive technologies are growing rapidly. An array of ultrasonic sensors i.e., HCSR-04 is placed at different directions, collecting data for a particularinterval of a period during a particular day. The acquired sensor values are subjected to pre-processing, data analytics, and visualization. The prepared data is now split into test and train. A prediction model is designed using logistic regression and linear regression and checked for accuracy, F1 score, and precision compared.
DO  - 10.46243/jst.2020.v5.i5.pp220-226
UR  - https://doi.org/10.46243/jst.2020.v5.i5.pp220-226
ER  -

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    "id": "10.46243/jst.2020.v5.i5.pp220-226",
    "DOI": "10.46243/jst.2020.v5.i5.pp220-226",
    "URL": "https://doi.org/10.46243/jst.2020.v5.i5.pp220-226",
    "title": "Motion Detection and Prediction Using Machine Learning Algorithm",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "issued": {
        "date-parts": [
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                2020,
                10,
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    "issue": "Volume 5",
    "page": "220-226",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "Machine learning is a branch of Artificial Intelligence which is gaining importance in the 21st century with increasing processing speeds and miniaturization of sensors, the applications of Artificial Intelligence and cognitive technologies are growing rapidly. An array of ultrasonic sensors i.e., HCSR-04 is placed at different directions, collecting data for a particularinterval of a period during a particular day. The acquired sensor values are subjected to pre-processing, data analytics, and visualization. The prepared data is now split into test and train. A prediction model is designed using logistic regression and linear regression and checked for accuracy, F1 score, and precision compared.",
    "ISSN": "2456-5660"
}

From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2020.v5.i5.pp220-226 gives all four in one JSON answer.